customer_support · saas · workflow
Forethought Solve and Triage help Achievers reach 69% deflection rate and 93% first contact resolution
Achievers' support queue was backed up with repetitive, low-complexity inquiries — 22% were password resets — assigned to agents without context, while a homegrown chatbot provided no deflection capability and no meaningful ticket classification.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Support inquiry arrives
Customer support inquiries arrive, spiking during the busy holiday season.
Tools used
ForethoughtSolveTriageDiscoverSalesforce Service Cloud · partner
Outcome
Achievers achieved a 69% deflection rate with Solve (far exceeding the initial expectation of 10%), 93% first contact resolution, a 50% increase in engagement score, and eliminated the need for 5 support agent headcounts through natural attrition.
What failed first
Achievers' previous homegrown chatbot lacked the ability to deflect simple inquiries, causing the agent queue to back up with tickets that should have been self-served.
Results
Volume69%
Grounding & classification
Source type: vendor customer story
40 fields verified against source quotes.
chatbotdocument classificationknowledge searchragsupport agentknowledge basesupport ticketfailure mode describedhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedsoftwareautomation ratecustomer satisfactiondeflection rateemployee productivityresolution time reductionvendor customer storycustomer supportticket triageautonomous resolutionextract classify routeintake to triage